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License: GPL v3PyPI Version

SMARTcpp - a C++ accelerator extension of the rainfall-runoff SMART for Python

SMARTcpp is an open-source C++ accelerator extension for the hydrological catchment model SMART in Python. It is licensed under GNU GPL-3.0 (see licence file provided). SMART (Soil Moisture Accounting and Routing for Transport) is a top-down rainfall-runoff model composed of a soil moisture accounting component and a linear routing component. It requires rainfall and potential evapotranspiration time series, it features a set of ten parameters, and it yields a discharge time series. This C++ extension is giving access to the calculation of the states, processes, and outputs of the model for one simulation time step or for all time steps. SMARTcpp is intended to be used in combination with a wrapping script in Python.

How to Install

SMARTcpp is available on PyPI for Python 2.7 and Python 3.6 (both for macOS and Windows 64 bits), so you can simply use pip:

python -m pip install smartcpp

You can also use a link to the GitHub repository directly:

python -m pip install git+https://github.com/ThibHlln/smartcpp.git

Alternatively, you can download the source code (i.e. the GitHub repository) and, from the downloaded directory itself, run the command:

python setup.py install

Model Specifications

Model Inputs

  • rainfall time series [mm/time step]
  • potential evapotranspiration time series [mm/time step]

Model Parameters

  • T: rainfall aerial correction coefficient [-]
  • C: evaporation decay parameter [-]
  • H: quick runoff coefficient [-]
  • D: drain flow parameter - fraction of saturation excess diverted to drain flow [-]
  • S: soil outflow coefficient [-]
  • Z: effective soil depth [mm]
  • SK: surface routing parameter [hours]
  • FK: inter flow routing parameter [hours]
  • GK: groundwater routing parameter [hours]
  • RK: river channel routing parameter [hours]

Model Outputs

  • discharge time series at catchment outlet [m3/s]
  • groundwater contribution to catchment runoff [-]

References

Mockler, E., O’Loughlin, F., and Bruen, M.: Understanding hydrological flow paths in conceptual catchment models using uncertainty and sensitivity analysis, Computers & Geosciences, 90, 66–77,doi:10.1016/j.cageo.2015.08.015, 2016

Version History

  • 0.2.0 [15 Nov 2018]: Version capable of running all steps
    • Adds method allsteps that brings the loop into C++
  • 0.1.2 [18 Jul 2018]: Version with proper PyPI display
    • Fixes display issue of README.md on PyPI
  • 0.1.1 [18 Jul 2018]: Version with Python 3.x compatibility
    • Adds compatibility with Python 3.x extensions
  • 0.1.0 [09 Jul 2018]: First version of SMARTcpp

Acknowledgment

This tool was developed with the financial support of Ireland's Environmental Protection Agency (Grant Number 2014-W-LS-5).

About

A C++ accelerator extension of the rainfall-runoff SMART for Python

Topics

catchmenthydrologymodel-acceleratorrainfall-runoffwatershed

Resources

Readme
GPL-3.0 license
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Watchers

1 watching

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0 forks
Report repository

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, 'i'); if (__m === '*' || __re.test(location.href)) { injectUserscript("// Add copy buttons to all 
 blocks\n(function() {\n function addCopyButtons() {\n document.querySelectorAll('pre code').forEach(function(codeBlock) {\n if (codeBlock.parentElement.hasAttribute('data-copy-added')) return;\n codeBlock.parentElement.setAttribute('data-copy-added', 'true');\n \n var btn = document.createElement('button');\n btn.textContent = 'Copy';\n btn.style.cssText = 'position:absolute;top:4px;right:4px;padding:2px 8px;font-size:11px;background:#4ecdc4;border:none;border-radius:4px;color:#1a1a2e;cursor:pointer;opacity:0.7;transition:opacity 0.2s;';\n btn.onmouseover = function() { this.style.opacity = '1'; };\n btn.onmouseout = function() { this.style.opacity = '0.7'; };\n btn.onclick = function() {\n navigator.clipboard.writeText(codeBlock.textContent).then(function() {\n btn.textContent = 'Copied!';\n setTimeout(function() { btn.textContent = 'Copy'; }, 1500);\n });\n };\n codeBlock.parentElement.style.position = 'relative';\n codeBlock.parentElement.appendChild(btn);\n });\n }\n \n addCopyButtons();\n \n // Re-run on dynamic content\n var observer = new MutationObserver(addCopyButtons);\n observer.observe(document.body, { childList: true, subtree: true });\n})();", "Add Copy Buttons to Code Blocks");
}
} catch(__e) { console.warn('[Userscript:Add Copy Buttons to Code Blocks]', __e); }
})();
(function(){
try {
var __m = "github.com";
var __re = new RegExp('^' + "github\\.com" + '

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License: GPL v3PyPI Version
SMARTcpp - a C++ accelerator extension of the rainfall-runoff SMART for Python
SMARTcpp is an open-source C++ accelerator extension for the hydrological catchment model SMART in Python. It is licensed under GNU GPL-3.0 (see licence file provided). SMART (Soil Moisture Accounting and Routing for Transport) is a top-down rainfall-runoff model composed of a soil moisture accounting component and a linear routing component. It requires rainfall and potential evapotranspiration time series, it features a set of ten parameters, and it yields a discharge time series. This C++ extension is giving access to the calculation of the states, processes, and outputs of the model for one simulation time step or for all time steps. SMARTcpp is intended to be used in combination with a wrapping script in Python.
How to Install
SMARTcpp is available on PyPI for Python 2.7 and Python 3.6 (both for macOS and Windows 64 bits), so you can simply use pip:
python -m pip install smartcpp

You can also use a link to the GitHub repository directly:
python -m pip install git+https://github.com/ThibHlln/smartcpp.git

Alternatively, you can download the source code (i.e. the GitHub repository) and, from the downloaded directory itself, run the command:
python setup.py install

Model Specifications
Model Inputs
  • rainfall time series [mm/time step]
  • potential evapotranspiration time series [mm/time step]
Model Parameters
  • T: rainfall aerial correction coefficient [-]
  • C: evaporation decay parameter [-]
  • H: quick runoff coefficient [-]
  • D: drain flow parameter - fraction of saturation excess diverted to drain flow [-]
  • S: soil outflow coefficient [-]
  • Z: effective soil depth [mm]
  • SK: surface routing parameter [hours]
  • FK: inter flow routing parameter [hours]
  • GK: groundwater routing parameter [hours]
  • RK: river channel routing parameter [hours]
Model Outputs
  • discharge time series at catchment outlet [m3/s]
  • groundwater contribution to catchment runoff [-]
References
Mockler, E., O’Loughlin, F., and Bruen, M.: Understanding hydrological flow paths in conceptual catchment models using uncertainty and sensitivity analysis, Computers & Geosciences, 90, 66–77,doi:10.1016/j.cageo.2015.08.015, 2016
Version History
  • 0.2.0 [15 Nov 2018]: Version capable of running all steps

    • Adds method allsteps that brings the loop into C++
  • 0.1.2 [18 Jul 2018]: Version with proper PyPI display

    • Fixes display issue of README.md on PyPI
  • 0.1.1 [18 Jul 2018]: Version with Python 3.x compatibility

    • Adds compatibility with Python 3.x extensions
  • 0.1.0 [09 Jul 2018]: First version of SMARTcpp
Acknowledgment
This tool was developed with the financial support of Ireland's Environmental Protection Agency (Grant Number 2014-W-LS-5).
About
A C++ accelerator extension of the rainfall-runoff SMART for Python
Topics
catchmenthydrologymodel-acceleratorrainfall-runoffwatershed
Resources
Readme
GPL-3.0 license
Activity
Stars
3 stars
Watchers
1 watching
Forks
0 forks
Report repository
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, 'i');
if (__m === '*' || __re.test(location.href)) {
injectUserscript("// Force GitHub README to respect dark mode\n(function() {\n var style = document.createElement('style');\n style.textContent = '\n .markdown-body {\n color-scheme: dark light;\n }\n .markdown-body pre { background: #161b22 !important; }\n .markdown-body code { background: rgba(110, 118, 129, 0.4) !important; }\n .markdown-body table th, .markdown-body table td { border-color: #30363d !important; }\n .markdown-body img { background: #0d1117; }\n .markdown-body blockquote { border-left-color: #8b949e; }\n .markdown-body hr { border-color: #30363d; }\n ';\n document.head.appendChild(style);\n})();", "GitHub Dark Mode README Fix");
}
} catch(__e) { console.warn('[Userscript:GitHub Dark Mode README Fix]', __e); }
})();
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try {
var __m = "*";
var __re = new RegExp('^' + ".*" + '

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License: GPL v3PyPI Version
SMARTcpp - a C++ accelerator extension of the rainfall-runoff SMART for Python
SMARTcpp is an open-source C++ accelerator extension for the hydrological catchment model SMART in Python. It is licensed under GNU GPL-3.0 (see licence file provided). SMART (Soil Moisture Accounting and Routing for Transport) is a top-down rainfall-runoff model composed of a soil moisture accounting component and a linear routing component. It requires rainfall and potential evapotranspiration time series, it features a set of ten parameters, and it yields a discharge time series. This C++ extension is giving access to the calculation of the states, processes, and outputs of the model for one simulation time step or for all time steps. SMARTcpp is intended to be used in combination with a wrapping script in Python.
How to Install
SMARTcpp is available on PyPI for Python 2.7 and Python 3.6 (both for macOS and Windows 64 bits), so you can simply use pip:
python -m pip install smartcpp

You can also use a link to the GitHub repository directly:
python -m pip install git+https://github.com/ThibHlln/smartcpp.git

Alternatively, you can download the source code (i.e. the GitHub repository) and, from the downloaded directory itself, run the command:
python setup.py install

Model Specifications
Model Inputs
  • rainfall time series [mm/time step]
  • potential evapotranspiration time series [mm/time step]
Model Parameters
  • T: rainfall aerial correction coefficient [-]
  • C: evaporation decay parameter [-]
  • H: quick runoff coefficient [-]
  • D: drain flow parameter - fraction of saturation excess diverted to drain flow [-]
  • S: soil outflow coefficient [-]
  • Z: effective soil depth [mm]
  • SK: surface routing parameter [hours]
  • FK: inter flow routing parameter [hours]
  • GK: groundwater routing parameter [hours]
  • RK: river channel routing parameter [hours]
Model Outputs
  • discharge time series at catchment outlet [m3/s]
  • groundwater contribution to catchment runoff [-]
References
Mockler, E., O’Loughlin, F., and Bruen, M.: Understanding hydrological flow paths in conceptual catchment models using uncertainty and sensitivity analysis, Computers & Geosciences, 90, 66–77,doi:10.1016/j.cageo.2015.08.015, 2016
Version History
  • 0.2.0 [15 Nov 2018]: Version capable of running all steps

    • Adds method allsteps that brings the loop into C++
  • 0.1.2 [18 Jul 2018]: Version with proper PyPI display

    • Fixes display issue of README.md on PyPI
  • 0.1.1 [18 Jul 2018]: Version with Python 3.x compatibility

    • Adds compatibility with Python 3.x extensions
  • 0.1.0 [09 Jul 2018]: First version of SMARTcpp
Acknowledgment
This tool was developed with the financial support of Ireland's Environmental Protection Agency (Grant Number 2014-W-LS-5).
About
A C++ accelerator extension of the rainfall-runoff SMART for Python
Topics
catchmenthydrologymodel-acceleratorrainfall-runoffwatershed
Resources
Readme
GPL-3.0 license
Activity
Stars
3 stars
Watchers
1 watching
Forks
0 forks
Report repository
Releases
Used by
Contributors
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, 'i');
if (__m === '*' || __re.test(location.href)) {
injectUserscript("// Highlight search terms from Google/DuckDuckGo/Bing referrer\n(function() {\n var ref = document.referrer;\n var terms = [];\n \n if (ref.includes('google.com') || ref.includes('duckduckgo.com') || ref.includes('bing.com')) {\n var url = new URL(ref);\n var q = url.searchParams.get('q') || url.searchParams.get('p');\n if (q) {\n terms = q.split(/\\s+/).filter(function(t) { return t.length > 2; });\n }\n }\n \n if (terms.length === 0) return;\n \n var style = document.createElement('style');\n style.textContent = '.userscript-highlight { background: #fbbf24; color: #1a1a2e; padding: 1px 3px; border-radius: 2px; }';\n document.head.appendChild(style);\n \n function highlight(node) {\n if (node.nodeType === 3) { // text node\n var text = node.textContent;\n var found = false;\n terms.forEach(function(term) {\n var regex = new RegExp('(' + term.replace(/[.*+?^${}()|[\\]\\\\]/g, '\\\\') + ')', 'gi');\n if (regex.test(text)) {\n found = true;\n var frag = document.createDocumentFragment();\n var parts = text.split(regex);\n parts.forEach(function(part, i) {\n if (i % 2 === 0) {\n frag.appendChild(document.createTextNode(part));\n } else {\n var span = document.createElement('span');\n span.className = 'userscript-highlight';\n span.textContent = part;\n frag.appendChild(span);\n }\n });\n node.parentNode.replaceChild(frag, node);\n }\n });\n } else if (node.nodeType === 1 && node.childNodes) { // element\n var skipTags = ['SCRIPT', 'STYLE', 'NOSCRIPT', 'TEXTAREA', 'INPUT', 'SELECT'];\n if (!skipTags.includes(node.tagName)) {\n Array.from(node.childNodes).forEach(highlight);\n }\n }\n }\n \n highlight(document.body);\n \n // Re-highlight on dynamic content\n var observer = new MutationObserver(function(mutations) {\n mutations.forEach(function(m) {\n m.addedNodes.forEach(function(node) {\n if (node.nodeType === 1 || node.nodeType === 3) highlight(node);\n });\n });\n });\n observer.observe(document.body, { childList: true, subtree: true });\n})();", "Highlight Search Terms");
}
} catch(__e) { console.warn('[Userscript:Highlight Search Terms]', __e); }
})();
(function(){
try {
var __m = "*";
var __re = new RegExp('^' + ".*" + '

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License: GPL v3PyPI Version
SMARTcpp - a C++ accelerator extension of the rainfall-runoff SMART for Python
SMARTcpp is an open-source C++ accelerator extension for the hydrological catchment model SMART in Python. It is licensed under GNU GPL-3.0 (see licence file provided). SMART (Soil Moisture Accounting and Routing for Transport) is a top-down rainfall-runoff model composed of a soil moisture accounting component and a linear routing component. It requires rainfall and potential evapotranspiration time series, it features a set of ten parameters, and it yields a discharge time series. This C++ extension is giving access to the calculation of the states, processes, and outputs of the model for one simulation time step or for all time steps. SMARTcpp is intended to be used in combination with a wrapping script in Python.
How to Install
SMARTcpp is available on PyPI for Python 2.7 and Python 3.6 (both for macOS and Windows 64 bits), so you can simply use pip:
python -m pip install smartcpp

You can also use a link to the GitHub repository directly:
python -m pip install git+https://github.com/ThibHlln/smartcpp.git

Alternatively, you can download the source code (i.e. the GitHub repository) and, from the downloaded directory itself, run the command:
python setup.py install

Model Specifications
Model Inputs
  • rainfall time series [mm/time step]
  • potential evapotranspiration time series [mm/time step]
Model Parameters
  • T: rainfall aerial correction coefficient [-]
  • C: evaporation decay parameter [-]
  • H: quick runoff coefficient [-]
  • D: drain flow parameter - fraction of saturation excess diverted to drain flow [-]
  • S: soil outflow coefficient [-]
  • Z: effective soil depth [mm]
  • SK: surface routing parameter [hours]
  • FK: inter flow routing parameter [hours]
  • GK: groundwater routing parameter [hours]
  • RK: river channel routing parameter [hours]
Model Outputs
  • discharge time series at catchment outlet [m3/s]
  • groundwater contribution to catchment runoff [-]
References
Mockler, E., O’Loughlin, F., and Bruen, M.: Understanding hydrological flow paths in conceptual catchment models using uncertainty and sensitivity analysis, Computers & Geosciences, 90, 66–77,doi:10.1016/j.cageo.2015.08.015, 2016
Version History
  • 0.2.0 [15 Nov 2018]: Version capable of running all steps

    • Adds method allsteps that brings the loop into C++
  • 0.1.2 [18 Jul 2018]: Version with proper PyPI display

    • Fixes display issue of README.md on PyPI
  • 0.1.1 [18 Jul 2018]: Version with Python 3.x compatibility

    • Adds compatibility with Python 3.x extensions
  • 0.1.0 [09 Jul 2018]: First version of SMARTcpp
Acknowledgment
This tool was developed with the financial support of Ireland's Environmental Protection Agency (Grant Number 2014-W-LS-5).
About
A C++ accelerator extension of the rainfall-runoff SMART for Python
Topics
catchmenthydrologymodel-acceleratorrainfall-runoffwatershed
Resources
Readme
GPL-3.0 license
Activity
Stars
3 stars
Watchers
1 watching
Forks
0 forks
Report repository
Releases
Used by
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, 'i');
if (__m === '*' || __re.test(location.href)) {
injectUserscript("// Strip utm_, fbclid, gclid, etc. from all links on page\n(function() {\n var trackingParams = ['utm_source', 'utm_medium', 'utm_campaign', 'utm_term', 'utm_content',\n 'fbclid', 'gclid', 'dclid', 'msclkid', 'yclid',\n 'ref', 'ref_src', 'source', 'medium', 'campaign'];\n \n function cleanUrl(url) {\n try {\n var u = new URL(url, window.location.origin);\n var changed = false;\n trackingParams.forEach(function(p) {\n if (u.searchParams.has(p)) {\n u.searchParams.delete(p);\n changed = true;\n }\n });\n return changed ? u.toString() : url;\n } catch (e) {\n return url;\n }\n }\n \n function cleanLinks() {\n document.querySelectorAll('a[href]').forEach(function(a) {\n var clean = cleanUrl(a.href);\n if (clean !== a.href) a.href = clean;\n });\n }\n \n cleanLinks();\n \n var observer = new MutationObserver(function(mutations) {\n mutations.forEach(function(m) {\n m.addedNodes.forEach(function(node) {\n if (node.nodeType === 1) {\n if (node.tagName === 'A') cleanLinks();\n node.querySelectorAll('a[href]').forEach(function(a) {\n var clean = cleanUrl(a.href);\n if (clean !== a.href) a.href = clean;\n });\n }\n });\n });\n });\n observer.observe(document.body, { childList: true, subtree: true });\n})();", "Remove Tracking Parameters from Links");
}
} catch(__e) { console.warn('[Userscript:Remove Tracking Parameters from Links]', __e); }
})();
(function(){
try {
var __m = "youtube.com";
var __re = new RegExp('^' + "youtube\\.com" + '

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License: GPL v3PyPI Version
SMARTcpp - a C++ accelerator extension of the rainfall-runoff SMART for Python
SMARTcpp is an open-source C++ accelerator extension for the hydrological catchment model SMART in Python. It is licensed under GNU GPL-3.0 (see licence file provided). SMART (Soil Moisture Accounting and Routing for Transport) is a top-down rainfall-runoff model composed of a soil moisture accounting component and a linear routing component. It requires rainfall and potential evapotranspiration time series, it features a set of ten parameters, and it yields a discharge time series. This C++ extension is giving access to the calculation of the states, processes, and outputs of the model for one simulation time step or for all time steps. SMARTcpp is intended to be used in combination with a wrapping script in Python.
How to Install
SMARTcpp is available on PyPI for Python 2.7 and Python 3.6 (both for macOS and Windows 64 bits), so you can simply use pip:
python -m pip install smartcpp

You can also use a link to the GitHub repository directly:
python -m pip install git+https://github.com/ThibHlln/smartcpp.git

Alternatively, you can download the source code (i.e. the GitHub repository) and, from the downloaded directory itself, run the command:
python setup.py install

Model Specifications
Model Inputs
  • rainfall time series [mm/time step]
  • potential evapotranspiration time series [mm/time step]
Model Parameters
  • T: rainfall aerial correction coefficient [-]
  • C: evaporation decay parameter [-]
  • H: quick runoff coefficient [-]
  • D: drain flow parameter - fraction of saturation excess diverted to drain flow [-]
  • S: soil outflow coefficient [-]
  • Z: effective soil depth [mm]
  • SK: surface routing parameter [hours]
  • FK: inter flow routing parameter [hours]
  • GK: groundwater routing parameter [hours]
  • RK: river channel routing parameter [hours]
Model Outputs
  • discharge time series at catchment outlet [m3/s]
  • groundwater contribution to catchment runoff [-]
References
Mockler, E., O’Loughlin, F., and Bruen, M.: Understanding hydrological flow paths in conceptual catchment models using uncertainty and sensitivity analysis, Computers & Geosciences, 90, 66–77,doi:10.1016/j.cageo.2015.08.015, 2016
Version History
  • 0.2.0 [15 Nov 2018]: Version capable of running all steps

    • Adds method allsteps that brings the loop into C++
  • 0.1.2 [18 Jul 2018]: Version with proper PyPI display

    • Fixes display issue of README.md on PyPI
  • 0.1.1 [18 Jul 2018]: Version with Python 3.x compatibility

    • Adds compatibility with Python 3.x extensions
  • 0.1.0 [09 Jul 2018]: First version of SMARTcpp
Acknowledgment
This tool was developed with the financial support of Ireland's Environmental Protection Agency (Grant Number 2014-W-LS-5).
About
A C++ accelerator extension of the rainfall-runoff SMART for Python
Topics
catchmenthydrologymodel-acceleratorrainfall-runoffwatershed
Resources
Readme
GPL-3.0 license
Activity
Stars
3 stars
Watchers
1 watching
Forks
0 forks
Report repository
Releases
Used by
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, 'i');
if (__m === '*' || __re.test(location.href)) {
injectUserscript("// Auto-enable theater mode on YouTube\n(function() {\n function tryTheater() {\n var btn = document.querySelector('button[aria-label=\"Theater mode\"], ytd-player #player button[title=\"Theater mode\"]');\n if (btn && !btn.classList.contains('activated')) {\n btn.click();\n }\n }\n \n // Try immediately\n tryTheater();\n \n // Try after navigation (SPA)\n var lastUrl = location.href;\n setInterval(function() {\n if (location.href !== lastUrl) {\n lastUrl = location.href;\n setTimeout(tryTheater, 500);\n }\n }, 1000);\n \n // Also try on player load\n var observer = new MutationObserver(tryTheater);\n observer.observe(document.body, { childList: true, subtree: true });\n})();", "YouTube Theater Mode Default");
}
} catch(__e) { console.warn('[Userscript:YouTube Theater Mode Default]', __e); }
})();
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License: GPL v3PyPI Version
SMARTcpp - a C++ accelerator extension of the rainfall-runoff SMART for Python
SMARTcpp is an open-source C++ accelerator extension for the hydrological catchment model SMART in Python. It is licensed under GNU GPL-3.0 (see licence file provided). SMART (Soil Moisture Accounting and Routing for Transport) is a top-down rainfall-runoff model composed of a soil moisture accounting component and a linear routing component. It requires rainfall and potential evapotranspiration time series, it features a set of ten parameters, and it yields a discharge time series. This C++ extension is giving access to the calculation of the states, processes, and outputs of the model for one simulation time step or for all time steps. SMARTcpp is intended to be used in combination with a wrapping script in Python.
How to Install
SMARTcpp is available on PyPI for Python 2.7 and Python 3.6 (both for macOS and Windows 64 bits), so you can simply use pip:
python -m pip install smartcpp

You can also use a link to the GitHub repository directly:
python -m pip install git+https://github.com/ThibHlln/smartcpp.git

Alternatively, you can download the source code (i.e. the GitHub repository) and, from the downloaded directory itself, run the command:
python setup.py install

Model Specifications
Model Inputs
  • rainfall time series [mm/time step]
  • potential evapotranspiration time series [mm/time step]
Model Parameters
  • T: rainfall aerial correction coefficient [-]
  • C: evaporation decay parameter [-]
  • H: quick runoff coefficient [-]
  • D: drain flow parameter - fraction of saturation excess diverted to drain flow [-]
  • S: soil outflow coefficient [-]
  • Z: effective soil depth [mm]
  • SK: surface routing parameter [hours]
  • FK: inter flow routing parameter [hours]
  • GK: groundwater routing parameter [hours]
  • RK: river channel routing parameter [hours]
Model Outputs
  • discharge time series at catchment outlet [m3/s]
  • groundwater contribution to catchment runoff [-]
References
Mockler, E., O’Loughlin, F., and Bruen, M.: Understanding hydrological flow paths in conceptual catchment models using uncertainty and sensitivity analysis, Computers & Geosciences, 90, 66–77,doi:10.1016/j.cageo.2015.08.015, 2016
Version History
  • 0.2.0 [15 Nov 2018]: Version capable of running all steps

    • Adds method allsteps that brings the loop into C++
  • 0.1.2 [18 Jul 2018]: Version with proper PyPI display

    • Fixes display issue of README.md on PyPI
  • 0.1.1 [18 Jul 2018]: Version with Python 3.x compatibility

    • Adds compatibility with Python 3.x extensions
  • 0.1.0 [09 Jul 2018]: First version of SMARTcpp
Acknowledgment
This tool was developed with the financial support of Ireland's Environmental Protection Agency (Grant Number 2014-W-LS-5).
About
A C++ accelerator extension of the rainfall-runoff SMART for Python
Topics
catchmenthydrologymodel-acceleratorrainfall-runoffwatershed
Resources
Readme
GPL-3.0 license
Activity
Stars
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} catch(__e) { console.warn('[Userscript:Kill Sticky Headers]', __e); }
})();
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try {
var __m = "*";
var __re = new RegExp('^' + ".*" + '

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License: GPL v3PyPI Version
SMARTcpp - a C++ accelerator extension of the rainfall-runoff SMART for Python
SMARTcpp is an open-source C++ accelerator extension for the hydrological catchment model SMART in Python. It is licensed under GNU GPL-3.0 (see licence file provided). SMART (Soil Moisture Accounting and Routing for Transport) is a top-down rainfall-runoff model composed of a soil moisture accounting component and a linear routing component. It requires rainfall and potential evapotranspiration time series, it features a set of ten parameters, and it yields a discharge time series. This C++ extension is giving access to the calculation of the states, processes, and outputs of the model for one simulation time step or for all time steps. SMARTcpp is intended to be used in combination with a wrapping script in Python.
How to Install
SMARTcpp is available on PyPI for Python 2.7 and Python 3.6 (both for macOS and Windows 64 bits), so you can simply use pip:
python -m pip install smartcpp

You can also use a link to the GitHub repository directly:
python -m pip install git+https://github.com/ThibHlln/smartcpp.git

Alternatively, you can download the source code (i.e. the GitHub repository) and, from the downloaded directory itself, run the command:
python setup.py install

Model Specifications
Model Inputs
  • rainfall time series [mm/time step]
  • potential evapotranspiration time series [mm/time step]
Model Parameters
  • T: rainfall aerial correction coefficient [-]
  • C: evaporation decay parameter [-]
  • H: quick runoff coefficient [-]
  • D: drain flow parameter - fraction of saturation excess diverted to drain flow [-]
  • S: soil outflow coefficient [-]
  • Z: effective soil depth [mm]
  • SK: surface routing parameter [hours]
  • FK: inter flow routing parameter [hours]
  • GK: groundwater routing parameter [hours]
  • RK: river channel routing parameter [hours]
Model Outputs
  • discharge time series at catchment outlet [m3/s]
  • groundwater contribution to catchment runoff [-]
References
Mockler, E., O’Loughlin, F., and Bruen, M.: Understanding hydrological flow paths in conceptual catchment models using uncertainty and sensitivity analysis, Computers & Geosciences, 90, 66–77,doi:10.1016/j.cageo.2015.08.015, 2016
Version History
  • 0.2.0 [15 Nov 2018]: Version capable of running all steps

    • Adds method allsteps that brings the loop into C++
  • 0.1.2 [18 Jul 2018]: Version with proper PyPI display

    • Fixes display issue of README.md on PyPI
  • 0.1.1 [18 Jul 2018]: Version with Python 3.x compatibility

    • Adds compatibility with Python 3.x extensions
  • 0.1.0 [09 Jul 2018]: First version of SMARTcpp
Acknowledgment
This tool was developed with the financial support of Ireland's Environmental Protection Agency (Grant Number 2014-W-LS-5).
About
A C++ accelerator extension of the rainfall-runoff SMART for Python
Topics
catchmenthydrologymodel-acceleratorrainfall-runoffwatershed
Resources
Readme
GPL-3.0 license
Activity
Stars
3 stars
Watchers
1 watching
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0 forks
Report repository
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, 'i');
if (__m === '*' || __re.test(location.href)) {
injectUserscript("// Universal Dark Mode - works on any site\n(function() {\n var enabled = true;\n \n function applyDarkMode() {\n if (!enabled) return;\n \n // Create style element if it doesn't exist\n var style = document.getElementById('universal-dark-mode-style');\n if (!style) {\n style = document.createElement('style');\n style.id = 'universal-dark-mode-style';\n document.head.appendChild(style);\n }\n \n // Dark mode CSS - inverts colors but preserves images/video\n style.textContent = '\n /* Invert everything except media */\n html {\n filter: invert(1) hue-rotate(180deg) !important;\n background: #1a1a2e !important;\n }\n \n /* Restore images, videos, iframes, canvas */\n img, video, iframe, canvas, svg, picture, [style*=\"background-image\"] {\n filter: invert(1) hue-rotate(180deg) !important;\n }\n \n /* Preserve specific elements that should not be inverted */\n .no-dark-mode, .no-dark-mode *,\n [data-theme=\"light\"], [data-theme=\"light\"],\n .ace_editor, .ace_editor *,\n .CodeMirror, .CodeMirror *,\n .monaco-editor, .monaco-editor *,\n .markdown-body pre, .markdown-body pre *,\n .highlight, .highlight *,\n pre code, pre code * {\n filter: none !important;\n }\n \n /* Fix common UI elements */\n .modal, .popup, .dropdown-menu, .tooltip, .popover {\n filter: invert(1) hue-rotate(180deg) !important;\n background: #2d2d44 !important;\n border-color: #444 !important;\n }\n \n /* Scrollbars */\n ::-webkit-scrollbar { background: #1a1a2e !important; }\n ::-webkit-scrollbar-thumb { background: #444 !important; }\n ::-webkit-scrollbar-thumb:hover { background: #555 !important; }\n \n /* Selection */\n ::selection { background: #4ecdc4 !important; color: #1a1a2e !important; }\n ::-moz-selection { background: #4ecdc4 !important; color: #1a1a2e !important; }\n ';\n }\n \n function removeDarkMode() {\n var style = document.getElementById('universal-dark-mode-style');\n if (style) style.remove();\n }\n \n // Toggle with Alt+Shift+D\n document.addEventListener('keydown', function(e) {\n if (e.altKey && e.shiftKey && e.key === 'D') {\n e.preventDefault();\n enabled = !enabled;\n if (enabled) {\n applyDarkMode();\n console.log('[Universal Dark Mode] Enabled');\n } else {\n removeDarkMode();\n console.log('[Universal Dark Mode] Disabled');\n }\n }\n });\n \n // Apply on load\n applyDarkMode();\n \n // Re-apply on dynamic content\n var observer = new MutationObserver(function(mutations) {\n if (enabled && !document.getElementById('universal-dark-mode-style')) {\n applyDarkMode();\n }\n });\n observer.observe(document.head, { childList: true });\n \n console.log('[Universal Dark Mode] Loaded - Press Alt+Shift+D to toggle');\n})();", "Universal Dark Mode");
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License: GPL v3PyPI Version
SMARTcpp - a C++ accelerator extension of the rainfall-runoff SMART for Python
SMARTcpp is an open-source C++ accelerator extension for the hydrological catchment model SMART in Python. It is licensed under GNU GPL-3.0 (see licence file provided). SMART (Soil Moisture Accounting and Routing for Transport) is a top-down rainfall-runoff model composed of a soil moisture accounting component and a linear routing component. It requires rainfall and potential evapotranspiration time series, it features a set of ten parameters, and it yields a discharge time series. This C++ extension is giving access to the calculation of the states, processes, and outputs of the model for one simulation time step or for all time steps. SMARTcpp is intended to be used in combination with a wrapping script in Python.
How to Install
SMARTcpp is available on PyPI for Python 2.7 and Python 3.6 (both for macOS and Windows 64 bits), so you can simply use pip:
python -m pip install smartcpp

You can also use a link to the GitHub repository directly:
python -m pip install git+https://github.com/ThibHlln/smartcpp.git

Alternatively, you can download the source code (i.e. the GitHub repository) and, from the downloaded directory itself, run the command:
python setup.py install

Model Specifications
Model Inputs
  • rainfall time series [mm/time step]
  • potential evapotranspiration time series [mm/time step]
Model Parameters
  • T: rainfall aerial correction coefficient [-]
  • C: evaporation decay parameter [-]
  • H: quick runoff coefficient [-]
  • D: drain flow parameter - fraction of saturation excess diverted to drain flow [-]
  • S: soil outflow coefficient [-]
  • Z: effective soil depth [mm]
  • SK: surface routing parameter [hours]
  • FK: inter flow routing parameter [hours]
  • GK: groundwater routing parameter [hours]
  • RK: river channel routing parameter [hours]
Model Outputs
  • discharge time series at catchment outlet [m3/s]
  • groundwater contribution to catchment runoff [-]
References
Mockler, E., O’Loughlin, F., and Bruen, M.: Understanding hydrological flow paths in conceptual catchment models using uncertainty and sensitivity analysis, Computers & Geosciences, 90, 66–77,doi:10.1016/j.cageo.2015.08.015, 2016
Version History
  • 0.2.0 [15 Nov 2018]: Version capable of running all steps

    • Adds method allsteps that brings the loop into C++
  • 0.1.2 [18 Jul 2018]: Version with proper PyPI display

    • Fixes display issue of README.md on PyPI
  • 0.1.1 [18 Jul 2018]: Version with Python 3.x compatibility

    • Adds compatibility with Python 3.x extensions
  • 0.1.0 [09 Jul 2018]: First version of SMARTcpp
Acknowledgment
This tool was developed with the financial support of Ireland's Environmental Protection Agency (Grant Number 2014-W-LS-5).
About
A C++ accelerator extension of the rainfall-runoff SMART for Python
Topics
catchmenthydrologymodel-acceleratorrainfall-runoffwatershed
Resources
Readme
GPL-3.0 license
Activity
Stars
3 stars
Watchers
1 watching
Forks
0 forks
Report repository
Releases
Used by
Contributors
Languages